Multiply-Imputing Confidential Characteristics and File Links in Longitudinal Linked Data
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Cited by:
- Ainara González de San Román & Yolanda F. Rebollo‐Sanz, 2018.
"An Estimation Of Worker And Firm Effects With Censored Data,"
Bulletin of Economic Research, Wiley Blackwell, vol. 70(4), pages 459-482, October.
- Yolanda F. Rebollo-Sanz & Ainara González de San Román, 2013. "Estimation of worker and firm effects with censored data," Working Papers 13.05, Universidad Pablo de Olavide, Department of Economics, revised May 2014.
- González de San Román, Ainara & Rebollo-Sanz, Yolanda F., 2014. "An estimation of worker and firm effects with censored data," Economics Discussion Papers 2014-28, Kiel Institute for the World Economy (IfW Kiel).
- Satkartar K. Kinney & Jerome P. Reiter & Javier Miranda, 2014. "Improving The Synthetic Longitudinal Business Database," Working Papers 14-12, Center for Economic Studies, U.S. Census Bureau.
- Reiter, Jerome P. & Oganian, Anna & Karr, Alan F., 2009. "Verification servers: Enabling analysts to assess the quality of inferences from public use data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1475-1482, February.
- Drechsler, Jörg & Reiter, Jerome P., 2011. "An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3232-3243, December.
- Reiter, Jerome P., 2008. "Selecting the number of imputed datasets when using multiple imputation for missing data and disclosure limitation," Statistics & Probability Letters, Elsevier, vol. 78(1), pages 15-20, January.
- Nowok, Beata & Raab, Gillian M. & Dibben, Chris, 2016. "synthpop: Bespoke Creation of Synthetic Data in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i11).
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